Evidence map›Paper›PMID 33654129›Full record

Trial reportScientific reports2021

Identification of genetic loci affecting body mass index through interaction with multiple environmental factors using structured linear mixed model.

Hae-Un Jung, Won Jun Lee, Tae-Woong Ha, Ji-One Kang, Jihye Kim, Mi Kyung Kim, Sungho Won, Taesung Park, Ji Eun Lim, Bermseok Oh

Open access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Hae-Un JungDepartment of Biomedical Science, School of Medicine, Kyung Hee University, Seoul, South Korea.
Won Jun LeeDepartment of Biomedical Science, School of Medicine, Kyung Hee University, Seoul, South Korea.
Tae-Woong HaDepartment of Biomedical Science, School of Medicine, Kyung Hee University, Seoul, South Korea.
Ji-One KangDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea.
Jihye KimDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
Mi Kyung KimDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea.
Sungho WonDepartment of Public Health Science, Seoul National University, Seoul, South Korea.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul, South Korea.
Ji Eun LimDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea. jelim@khu.ac.kr.
Bermseok OhDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea. ohbs@khu.ac.kr.
Kyung Hee University · KRHanyang University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple environmental factors could interact with a single genetic factor to affect disease phenotypes. We used Struct-LMM to identify genetic variants that interacted with environmental factors related to body mass index (BMI) using data from the Korea Association Resource. The following factors were investigated: alcohol consumption, education, physical activity metabolic equivalent of task (PAMET), income, total calorie intake, protein intake, carbohydrate intake, and smoking status. Initial analysis identified 7 potential single nucleotide polymorphisms (SNPs) that interacted with the environmental factors (P value < 5.00 × 10

Indexed as

Body Mass IndexGene-Environment InteractionGenetic LociModels, GeneticPolymorphism, Single NucleotideFemaleGenome-Wide Association StudyHumansMiddle Aged

Identifiers

PMID33654129
PMCPMC7925554
OpenAlexW3135898208

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.